Art & Literature: 20 Ways Handwriting is Good for You and Your Studying  |  National Edu News: Durga India organizes NGAGE – a virtual youth forum on gender equity  |  National Edu News: IISF-2020 Curtain Raiser events to generate awareness  |  National Edu News: Government Launches Mission COVID Suraksha  |  Policy Indications: A webinar on National Education Policy for Holistic Development  |  Policy Indications: School Education Department's initiatives during COVID-19 pandemic  |  Policy Indications: 'Technology can be an enabler for India to position itself as a global leader'  |  Policy Indications: Apex Committee meeting provides suggestions for finalization of draft STIP 2020  |  Technology Inceptions: CSIR-CCMB’s Dry Swab direct RT-PCR method to detect Covid gets ICMR approval  |  National Edu News: CSIR–AMPR to highglight Traditional Artisans and Crafts Expo at IISF-2020  |  National Edu News: GITA, a catalyst for nurturing innovation & industrial R&D: Minister  |  Parent Interventions: Headaches and online learning  |  Parent Interventions: E-cigarettes can be a ‘gateway’ to conventional cigarette smoking for teens   |  Parent Interventions: Thanksgiving meals for diabetic children  |  Technology Inceptions: Smart Speaker Determines Optimal Timing to Talk​  |  
August 21, 2017 Monday 09:36:29 PM IST

Speech recognition by MS a new milestone

Technology Inceptions

San Francisco: Microsofts conversational speech recognition system -- designed to accurately recognises the words in a conversation like humans do -- has reached a 5.1 per cent error rate, its lowest so far.

This milestone means that, for the first time, a computer can recognise the words in a conversation as well as a person would.

"Our research team reached that 5.1 per cent error rate with our speech recognition system, a new industry milestone, substantially surpassing the accuracy we achieved last year," Microsoft said in a blog post late on Sunday.

Last year in October, the team from Microsoft Artificial Intelligence and Research reported a speech recognition system that makes the same or fewer errors than professional transcriptionists. The researchers had then reported a word error rate (WER) of 5.9 percent.


"Last year, Microsoft's speech and dialog research group announced a milestone in reaching human parity on the 'Switchboard' conversational speech recognition task, meaning we had created technology that recognised words in a conversation as well as professional human transcribers," said Xuedong Huang, Technical Fellow, Microsoft.

'Switchboard' is a corpus of recorded telephone conversations that the speech research community has used for more than 20 years to benchmark speech recognition systems. 

The task involves transcribing conversations between strangers discussing topics such as sports and politics. The team used "Microsoft Cognitive Toolkit 2.1" (CNTK), the most scalable deep learning software available, for exploring model architectures. 

Additionally, Microsoft's investment in cloud compute infrastructure, specifically Azure GPUs, helped improve the effectiveness and speed.


Reaching human parity with an accuracy on par with humans has been a research goal for the last 25 years. 

"Microsoft's willingness to invest in long-term research is now paying dividends for our customers in products and services such as Cortana, Presentation Translator, and Microsoft Cognitive Services," the post read. "Moving from recognising to understanding speech is the next major frontier for speech technology," the post added.

Comments